Forest Cover Type Classification Project
Thomas Kolasa and Aravind Kolumum Raja
The Dataset
We found the Forest Covertype in the UCI Machine Learning Repository that takes forestry data from the Roosevelt National Forest in northern Colorado. The observations are taken from 30m by 30m patches of forest that are classified as one of seven forest types:
- Spruce/Fir
- Lodgepole Pine
- Ponderosa Pine
- Cottonwood/Willow
- Aspen
- Douglas-fir
- Krummholz
Kaggle hosted the dataset in a competition with a training set of 15,120 observations and a test set of 565,892 observations. The relative size of the training and test sets makes classification of cover type a challenging problem.
